IDEAS home Printed from https://ideas.repec.org/a/ibn/ijmsjn/v8y2016i3p89-98.html
   My bibliography  Save this article

Relating Big Five Factor Model to the Acceptance and Use of On-line Shopping

Author

Listed:
  • Mumtaz Reina Mendonca

Abstract

The main purpose of this paper is to determine the influence of the Big Five personality traits on consumers¡¯ online shopping performance and perceptions of shopping experience. Building on previous research, it was found that personality characteristics shape an individual¡¯s motivation, goals, and perception, thereby providing criteria to evaluate external stimuli and affect performance. The influence of personality traits on a consumer adopting online purchases as well as his acceptability and adaptability with the said medium is assessed. The paper consists of theoretical and research aspects. The first part encompasses theoretical insights into the secondary research regarding personality traits while the practical part presents the methodology and primary research results. In the study, research goals as well as previous findings and primary research results, corresponding hypothesis were set and confirmed. Inter variable correlation analysis has been performed to test the hypothesis followed by a regression analysis. The results potrayed respondents¡¯ consistency in their personality traits (Extraversion, Openness to Experience and Conscientiousness) and their behaviour while shopping online. However, the trait neuroticism did not conform to the generalisation and hence did not display consistency between the trait and its related behaviour in online shopping.

Suggested Citation

  • Mumtaz Reina Mendonca, 2016. "Relating Big Five Factor Model to the Acceptance and Use of On-line Shopping," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(3), pages 89-98, June.
    • Handle: RePEc:ibn:ijmsjn:v:8:y:2016:i:3:p:89-98
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijms/article/view/57104/32201
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijms/article/view/57104
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Lei Zhu & Izak Benbasat & Zhenhui Jiang, 2010. "Let's Shop Online Together: An Empirical Investigation of Collaborative Online Shopping Support," Information Systems Research, INFORMS, vol. 21(4), pages 872-891, December.
    4. Gholamreza Torkzadeh & Gurpreet Dhillon, 2002. "Measuring Factors that Influence the Success of Internet Commerce," Information Systems Research, INFORMS, vol. 13(2), pages 187-204, June.
    5. Allan P. O. Williams, 2006. "Impact of Strategies," Palgrave Macmillan Books, in: The Rise of Cass Business School, chapter 13, pages 167-181, Palgrave Macmillan.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jasmandeep Kaur & Priyanka Malik & Surabhi Singh, 2024. "Expressing Your Personality Through Apparels: Role of Fashion Involvement and Innovativeness in Purchase Intention," FIIB Business Review, , vol. 13(3), pages 318-330, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ricardo Buettner, 2017. "Predicting user behavior in electronic markets based on personality-mining in large online social networks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 247-265, August.
    2. McLean, Graeme & Osei-Frimpong, Kofi, 2019. "Chat now… Examining the variables influencing the use of online live chat," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 55-67.
    3. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    4. Wang Kai, 2019. "Towards a Taxonomy of Idea Generation Techniques," Foundations of Management, Sciendo, vol. 11(1), pages 65-80, January.
    5. Bridgelall, Raj & Stubbing, Edward, 2021. "Forecasting the effects of autonomous vehicles on land use," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    6. Bevilacqua, Maurizio & Ciarapica, Filippo Emanuele, 2018. "Human factor risk management in the process industry: A case study," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 149-159.
    7. Naveena Prakasam & Louisa Huxtable-Thomas, 2021. "Reddit: Affordances as an Enabler for Shifting Loyalties," Information Systems Frontiers, Springer, vol. 23(3), pages 723-751, June.
    8. Colin Jerolmack & Alexandra K. Murphy, 2019. "The Ethical Dilemmas and Social Scientific Trade-offs of Masking in Ethnography," Sociological Methods & Research, , vol. 48(4), pages 801-827, November.
    9. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    10. Sandberg, Susanne & Sui, Sui & Baum, Matthias, 2019. "Effects of prior market experiences and firm-specific resources on developed economy SMEs' export exit from emerging markets: Complementary or compensatory?," Journal of Business Research, Elsevier, vol. 98(C), pages 489-502.
    11. Zhang, Feng & Jiang, Guohua & Cantwell, John A., 2015. "Subsidiary exploration and the innovative performance of large multinational corporations," International Business Review, Elsevier, vol. 24(2), pages 224-234.
    12. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    13. Zhao, Jing & Knoop, Victor L. & Wang, Meng, 2020. "Two-dimensional vehicular movement modelling at intersections based on optimal control," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 1-22.
    14. Kristine Edgar Danielyan & Samvel Grigoriy Chailyan, 2019. "Delineation of Effectors Impact on The Human Brain Derived Phosphoribosylpyrophosphate Synthetase-1 Activity," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17918-17926, December.
    15. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.
    16. Mohammad AL-Zoubi, 2018. "The Role of Technology, Organization, and Environment Factors in Enterprise Resource Planning Implementation Success in Jordan," International Business Research, Canadian Center of Science and Education, vol. 11(8), pages 48-65, August.
    17. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    18. Onyema E. Ofoegbu, 2014. "The Role of Knowledge Management on Knowledge Management Perfomance: A Case Study of Some Nigerian Banks," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 5(2), pages 53-62, May.
    19. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    20. Hwang, ShinYoung & Kim Seongcheol, 2017. "What triggers the use of mIM service provider’s sequel O2O service extensions?," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168494, International Telecommunications Society (ITS).

    More about this item

    Keywords

    personality traits; consumer behaviour; on-line shopping; internet;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ijmsjn:v:8:y:2016:i:3:p:89-98. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.